Development of a Predictive Model for Cardiac Dysfunction in MIS-C Patients Utilizing Laboratory Biomarkers

Background and Objectives: Early identification of cardiac dysfunction in multi-system inflammatory syndrome in children (MIS-C) is crucial for effective management. Our primary objective was to predict left ventricular systolic dysfunction (LVSD) through a multicenter collaborative assessing admiss...

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Principais autores:	Guliz Erdem, Brendan Galdo, Roshini S. Abraham, Allayne Stephans, Simon Lee, Jun Yasuhara, Brent Merryman, Diego Cruz Vidal, Nathan M. Money, Jennifer Colgan, Risa Bochner, Ron L. Kaplan, Erin Aldag, Thomas Graf, Steve Rust
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2026-02-01
Series:	Children
Assuntos:	MIS-C Kawasaki disease left ventricular systolic dysfunction data analytics
Acceso en liña:	https://www.mdpi.com/2227-9067/13/2/216
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